Upload app.py

app.py

@@ -20,20 +20,20 @@ stsb_dataset = load_dataset('stsb_multi_mt', 'en')
 stsb_train = pd.DataFrame(stsb_dataset['train'])
 stsb_test = pd.DataFrame(stsb_dataset['test'])
 
-# # let's create helper functions
-# nlp = spacy.load("en_core_web_sm")
+# let's create helper functions
+nlp = spacy.load("en_core_web_sm")
 
 
-# def text_processing(sentence):
-#     sentence = [token.lemma_.lower()
-#                 for token in nlp(sentence)
-#                 if token.is_alpha and not token.is_stop]
-#     return sentence
+def text_processing(sentence):
+    sentence = [token.lemma_.lower()
+                for token in nlp(sentence)
+                if token.is_alpha and not token.is_stop]
+    return sentence
 
 
-# def cos_sim(sentence1_emb, sentence2_emb):
-#     cos_sim = cosine_similarity(sentence1_emb, sentence2_emb)
-#     return np.diag(cos_sim)
+def cos_sim(sentence1_emb, sentence2_emb):
+    cos_sim = cosine_similarity(sentence1_emb, sentence2_emb)
+    return np.diag(cos_sim)
 
 
 # let's read the csv file